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What is Data Preprocessing for KDD: Complete Guide about?

Data preprocessing is essential for transforming raw data into a clean and usable format for data mining, addressing issues like incompleteness, noise, and inconsistency. Key steps include data cleaning, transformation, and reduction, which enhance accuracy and efficiency. The document outlines various methods and techniques for each preprocessing step, emphasizing their importance in Knowledge Discovery in Databases.

Author

Varshitha Kn

Language

EN